Do deep learning algorithms represent ensemble-based methods?
You should think of them as different approaches. A deep neural net is a single independent model, whereas ensemble models are ensembles of many independent models.

The primary connection between the two is dropout, a particular method of training deep neural nets that's inspired by ensemble methods.